Carlos Soto

Education

Skills

• C++
• Java
• Python
• R
• LaTex
• Intel Threading Building Blocks
• Message Passing Interface
• X code

• Parallel computing
• Object Oriented Programming
• Writting Research

Interests

Parallel programming, intelligent optimization, multi-objective optimization, artifial intelligence, data analyst

Awards & Certifications

• Beca Nacional Conacyt scholarship for Ph.D studies
• Beca Mixta Conacyt scholarship for Ph.D. studies in Universidad de Cádiz
• Beca Mixta Conacyt scholarship for Ms.C. studies

Scientific research

• A neighborhood operator for continuous multi-objective optimization problems, in International Journal of Combinatorial Optimization Problems and Informatics. Alejandro Santiago, J. Carlos Soto-Monterrubio, J. David Terán-Villanueva, H. J. Fraire-Huacuja, J. J. González Barbosa, C. Gómez Santillan, (2018). Indexed by Emerging Sources Citation Index of Clarivate Analytics (Thomson Reuters) Redalyc:id=265254330002.
• Branch and bound algorithm for the heterogeneous computing scheduling multi-objective problem, in International Journal of Combinatorial Optimization Problems and Informatics. J. Carlos Soto-Monterrubio, Alejandro Santiago, H. J. Fraire-Huacuja, Juan Frausto-Solís, J. David Terán-Villanueva, (2016). Indexed by Emerging Sources Citation Index of Clarivate Analytics (Thomson Reuters) Redalyc:id=265253895003.

• AMOSA with Analytical Tuning Parameters for Heterogeneous Computing Scheduling Problem, in P. Melin, O. Castillo, and J. Kacprzyk (eds) Nature-Inspired Design of Hybrid Intelligent Systems. Cham: Springer International Publishing (Studies in Computational Intelligence), (2017), pp. 701–711. H. J. Fraire Huacuja, J. Frausto-Solís, J. D. Terán-Villanueva, J. C. Soto-Monterrubio, J. J. González Barbosa, G. Castilla-Valdez. DOI:10.1007/978-3-319-47054-2_46.
• Multi-Objective Simulated Annealing Algorithms for General Problems, in Ochoa-Zezzatti, A., Sánchez, J., Cedillo-Campos, M. G., and de Lourdes, M. (eds) Handbook of Research on Military, Aeronautical, and Maritime Logistics and Operations. IGI Global, (2016), pp. 280–292. J. F. Solís, H. J. Fraire H., J. C. Soto-Monterrubio, R. Pazos-Rangel. DOI:10.4018/978-1-4666-9779-9.ch014.
• A Comparison Between Memetic Algorithm and Seeded Genetic Algorithm for Multi-objective Independent Task Scheduling on Heterogeneous Machines, in Melin, P., Castillo, O., and Kacprzyk, J. (eds) Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization. Cham: Springer International Publishing (Studies in Computational Intelligence), (2015), pp. 377–389. H. J. F. Huacuja, A. Santiago, J. E. Pecero; Bernabé Dorronsoro, Pascal Bouvry, J. C. Soto Monterrubio, J. J. G. Barbosa, C. G. Santillan. DOI:10.1007/978-3-319-17747-2_29.
• TwoPILP: An Integer Programming Method for HCSP in Parallel Computing Centers, in Advances in Artificial Intelligence and Its Applications. Springer, (2015), pp. 463–474. J. C. Soto-Monterrubio; H. J. Fraire-Huacuja; J. Frausto-Solís; L. Cruz-Reyes; R. Pazos; J. Javier González-Barbosa. DOI:10.1007/978-3-319-27101-9_35.
• A Survey of Decomposition Methods for Multi-objective Optimization, in Castillo, O., Melin, P., Pedrycz, W., and Kacprzyk, J. (eds) Recent Advances on Hybrid Approaches for Designing Intelligent Systems. Springer International Publish (Studies in Computational Intelligence), (2014), pp. 453–465. A. Santiago, H. J. F. Huacuja, Bernabé Dorronsoro, J. E. Pecero, C. G. Santillan, J. J. G. Barbosa, J. C. Soto Monterrubio. DOI:10.1007/978-3-319-05170-3_31.

• International Seminar of Computational Intelligence held in Tijuana, México with the talk AMOSA with Analytical Tuning Parameters for Heterogeneous Computing Scheduling Problem, (2016).
• International Seminar of Computational Intelligence held in Tijuana, México with the talk A Comparison Between Memetic Algorithm and Seeded Genetic Algorithm for Multi-objective Independent Task Scheduling on Heterogeneous Machines, (2014).